deGradInfer (1.0.0)

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Parameter Inference for Systems of Differential Equation.

Efficient Bayesian parameter inference for systems of ordinary differential equations. The inference is based on adaptive gradient matching (AGM, Dondelinger et al. 2013 , Macdonald 2017 ), which offers orders-of-magnitude improvements in computational efficiency over standard methods that require solving the differential equation system. Features of the package include flexible specification of custom ODE systems as R functions, support for missing variables, Bayesian inference via population MCMC.

Maintainer: Frank Dondelinger
Author(s): Benn Macdonald [aut], Frank Dondelinger [aut, cre]

License: GPL-3

Uses: deSolve, gdata, gptk, ggplot2, testthat, knitr, rmarkdown

Released about 2 years ago.



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